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The NVIDIA DOCA Verification team is seeking a highly motivated and hardworking Software Verification Engineer. This role requires hands-on technical experience to verify the design and implementation of the next generation Data Processing Unit (DPU) Software. The position involves working with a wide range of features related to networking, hardware accelerators, cybersecurity, and embedded systems.
What you'll be doing:
Collaborate with top-tier engineers to define, plan, and develop testing platforms and infrastructure using C/C++ and Python.
Design and continuously enhance verification infrastructure and methodologies to meet the demands of next-generation Data Processing Units (DPUs).
Ensure product reliability by reviewing nightly test runs and diagnosing any failures.
What we need to see:
Bachelors Degree in EE, CS or CE or equivalent work experience
3+ years in a similar or related role with Hands on experience with the software development lifecycle, specifically for embedded systems and security.
Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.
Ability to organize tasks, break plans into manageable subtasks, monitor progress, and effectively communicate status.
Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.
Excellent communications skills, self-motivated and well organized.
Strong programming skills in C/C++ must, Python or other scripting languages (such as Shell)-advantage.
Ways to stand out from the crowd:
Possess prior experience in software testing, with a solid understanding of testing tools and methodologies such as gtest, pytest or other similar frameworks.
Have a strong familiarity with Linux environments and networking concepts.
Prior familiarity with Continuous Integration methodologies and tools, including Git, Gerrit, and Jenkins.
Previous experience with Scrum methodologies
Demonstrate knowledge of NVIDIA Data Processing Unit (DPU) products, as well as other NVIDIA technologies and solutions
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